Stata program for random treatment assignment with unequal treatment fractions and dealing with misfits.
randtreat is a Stata program that performs random treatment assignment. It can handle an arbitrary number of treatments and unequal treatment fractions, which are common in real-world randomized control trials. Stratified randomization can be achieved by optionally specifying a variable list that defines multiple strata. It also provides several methods to deal with misfits, a practical issue that arises in treatment assignment whenever observations can't be neatly distributed among treatments (see References). The command performs all tasks in a way that marks misfit observations and provides several methods to deal with those misfits.
Please refer to the help file for further details.
You can install the most updated version of this program directly from Github. This can be done without any additional packages by executing
net install randtreat, from("https://raw.github.com/acarril/randtreat/master/") replaceHowever, it might be more convenient to install and maintain it using Haghish's excellent Github package:
net install github, from("https://haghish.github.io/github/")
github install acarril/randtreatAn (outdated) version of this program can also be found in the SSC repository:
ssc install randtreatOne of the first to discuss the misfits issue were Bruhn and McKenzie (2011), in a World Bank Blog post. A generalization of the problem and details of the Stata implementation can be found in Carril, 2017.